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  • RDT: Reversible Data Transforms
  • Getting Started
    • Installation
    • Quickstart
  • Usage
    • Basic Concepts
    • HyperTransformer
      • Preparation
      • Configuration
      • Transformation
  • Transformers Glossary
    • Numerical
      • ClusterBasedNormalizer
      • FloatFormatter
      • GaussianNormalizer
      • LogScaler
      • LogitScaler
      • * OutlierEncoder
      • ❖ DPECDFNormalizer
      • ❖ DPLaplaceNoiser
      • ❖ ECDFNormalizer
      • ❖ XGaussianNormalizer
    • Categorical
      • LabelEncoder
      • OrderedLabelEncoder
      • FrequencyEncoder
      • OneHotEncoder
      • OrderedUniformEncoder
      • UniformEncoder
      • BinaryEncoder
      • ❖ DPDiscreteECDFNormalizer
      • ❖ DPResponseRandomizer
      • ❖ DPWeightedResponseRandomizer
    • Datetime
      • OptimizedTimestampEncoder
      • UnixTimestampEncoder
      • ❖ DPTimestampLaplaceNoiser
    • ID
      • AnonymizedFaker
      • IndexGenerator
      • RegexGenerator
      • Treat IDs as categorical labels
    • Generic PII Anonymization
      • AnonymizedFaker
      • PseudoAnonymizedFaker
    • * Deep Data Understanding
      • * Address
        • * RandomLocationGenerator
        • * RegionalAnonymizer
      • * Email
        • * DomainBasedAnonymizer
        • * DomainBasedMapper
        • * DomainExtractor
      • * GPS Coordinates
        • * RandomLocationGenerator
        • * GPSNoiser
        • * MetroAreaAnonymizer
      • * Phone Number
        • * AnonymizedGeoExtractor
        • * NewNumberMapper
        • * GeoExtractor
  • Resources
    • Use Cases
      • Contextual Anonymization
      • Differential Privacy
      • Statistical Preprocessing
    • For Businesses
    • For Developers
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  1. Transformers Glossary

Generic PII Anonymization

PreviousTreat IDs as categorical labelsNextAnonymizedFaker

Last updated 7 months ago

PII stands for Personal Identifiable Information. The defining aspect of PII data is that you do not want the real values in your dataset to leak. Typically, PII has a higher-level, semantic meaning and it may be possible to create other new values completely from scratch if you know the meaning.

PII columns are not automatically detected. Please verify your data and manually set any sensitive columns to PII.

Browse PII Transformers

Create fake, anonymized values without looking at the real data.

Create and use a reversible mapping between real data, and fake values.

AnonymizedFaker
PseudoAnonymizedFaker
For example, names, phone numbers or addresses are all sensitive data that you do not want to leak.